What is Semantic Scholar?

Semantic Scholar is a search engine designed specifically for academic research papers. It goes beyond simply finding papers and uses artificial intelligence to understand the meaning and connections within the research.

Time Stamps of Sections of this Tutorial:

00:00 - Introduction to Semantic Scholar
00:39 - Searching for Papers on Semantic Scholar
01:20 - Saving Papers to Your Library
02:02 - Exporting and Citing Papers
02:53 - Using Filters on Semantic Scholar
03:11 - Semantic Scholar as a Free AI-Powered Research Tool
03:47 - Other AI Tools Using Semantic Scholar's Database
03:58 - Closing Remarks

Semantic Scholar vs. Google Scholar

Focus: Semantic Scholar is laser-focused on academic papers, while Google Scholar searches a wider range of information like websites and books.

Understanding: Semantic Scholar's AI digs deeper, identifying key findings, authors, and relationships between different studies.

Helpful Features: It offers summaries of papers, shows connections between research, and even highlights the most influential parts.

How is Semantic Scholar Used?

Students: Easily find relevant papers, quickly get the gist of complex research, and trace the development of ideas through linked studies.
Researchers: Discover groundbreaking work, stay up-to-date in their field, and see who's working on similar topics.
Everyone: Get a deeper and more organized understanding of scientific and academic research.

Link to Semantic Scholar: https://www.semanticscholar.org

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